Non-traditional interpretation of ECG signals: uncovering hidden data for multimodal health monitoring
نویسندگان
چکیده
In this paper we present the benefits of long-term ECG data collection. Extraction of “nontraditional” variables and multimodal information from ECG signals can be used to estimate current, predict future health status, and detect any health anomalies and trends of an individual before subjective signs appear.
منابع مشابه
Classification of ECG signals using Hermite functions and MLP neural networks
Classification of heart arrhythmia is an important step in developing devices for monitoring the health of individuals. This paper proposes a three module system for classification of electrocardiogram (ECG) beats. These modules are: denoising module, feature extraction module and a classification module. In the first module the stationary wavelet transform (SWF) is used for noise reduction of ...
متن کاملRobust detection of heartbeats using association models from blood pressure and EEG signals
BACKGROUNDS The heartbeat is fundamental cardiac activity which is straightforwardly detected with a variety of measurement techniques for analyzing physiological signals. Unfortunately, unexpected noise or contaminated signals can distort or cut out electrocardiogram (ECG) signals in practice, misleading the heartbeat detectors to report a false heart rate or suspend itself for a considerable ...
متن کاملContinuous and Cuffless Blood Pressure Monitoring Based on ECG and SpO2 Signals By Using Microsoft Visual C Sharp
Background: One of the main problems especially in operating room and monitoring devices is measurement of Blood Pressure (BP) by sphygmomanometer cuff.Objective: In this study we designed a new method to measure BP changes continuously for detecting information between cuff inflation times by using vital signals in monitoring devices. This will be achieved by extraction of the time difference ...
متن کاملProbabilistic data fusion model for heart beat detection from multimodal physiological data
Automatic detection of heart beats constitutes the basis for electrocardiogram (ECG) analysis and mainly relies on detecting QRS complexes. Detection is typically performed by analyzing the ECG signal. However, when signal quality is low, it often leads to the triggering of false alarms. A contemporary approach to reduce false alarm rate is to use multimodal data such as arterial blood pressure...
متن کاملOn the Design of an Efficient Cardiac Health Monitoring System Through Combined Analysis of ECG and SCG Signals
Cardiovascular disease (CVD) is a major public concern and socioeconomic problem across the globe. The popular high-end cardiac health monitoring systems such as magnetic resonance imaging (MRI), computerized tomography scan (CT scan), and echocardiography (Echo) are highly expensive and do not support long-term continuous monitoring of patients without disrupting their activities of daily livi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2012